Brou Marie Joelle Alexandra Adje

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Thanks for sharing James. I heard about Hadoop before as well. One of the downsides is that it is one such platform wherein only large business that generates big data can utilize its functions. It cannot efficiently perform in small data environments. It also lack preventive measures, like fo example the security measures are always disabled by…[Read more]

Great post David. It really make sense because when you think about it algorithms can make systems smarter, but without adding a little common sense into the equation they can still produce some pretty bizarre results. That’s why human intelligence is also necessary. Combining human analysis and machine data mining will allow to obtain credible…[Read more]

Hey David, I actually read that article and really liked the concept of behavioral technologies. Like, old systems don’t discover identity theft by authorized users. People dont usually think about these things but they can make a difference, especially in the cyber world. Behavioral technologies are based on behavior analysis, which is pretty…[Read more]

Good point Priya, I like that you mentioned that “As an IT auditor it is important that you evolve as the industry is evolving”. Indeed, the great thing about being an auditor is that you are constantly learning. Every audit provides new situations and challenges. Legislation and regulations change too. There is no way a faker can be trusted. I…[Read more]

Laly, would you be ok with an auditor who has no idea about what he/she is doing? i mean what’s worse? one who is ignorant and refuses to learn or one who knows things but is just lazy, need a little push? I think lazy auditors are still good at observation and inquiry. They are still able to provide sound audit recommendations. the downside is…[Read more]

I agree with you Yu ming, the faker is incompetent in certain area and mask the incompetence with lying instead of building their skills. Auditors are risk, compliance, and process experts, but not necessarily experts in everything their clients do. When faced with complex situations, the faker will attempt to “fake it” instead of learning the…[Read more]

Yu Ming, when it comes to fast data, it is important to capture the value in it properly. In fact, the best way to capture the value of incoming data is to react to it the instant it arrives. If businesses are processing incoming data in batches, they’ve already lost time and, thus, the value of that data. To process data arriving at tens of…[Read more]

Indeed Binu, SIEM tools are not enough anymore. They are only good at detecting anomalies, such as 10+ failed login authentications, or the network IPs generating the highest firewall traffic. The challenge lies in differentiating anomalies from true malicious behavior, whether it be an attacker masking as an internal employee or an insider…[Read more]

Deepali, did you know that one of the first users who used Big Data and microtargeting was Obama’s election team in the 2012 United States Presidential campaign? They used microtargeting to interact and appeal to voters individually. Following Khawlah’s example, we can agree that nowadays, microtargeting techniques are becoming an essential tool f…[Read more]

right Khawlah, although dark data holds massive amount of potential for those who want to harness its immense power, it can also pose dark threats. Indeed, as you mentioned dark data can cause legal, financial and other problems if it is not handled well enough. If data covered by mandate or regulation – such as confidential, financial i…[Read more]

Nicely said Priya, I really like that you mentioned that every breach is a learning. Indeed, the least companies can do is to learn lessons from incidents to help ensure the same thing doesn’t happen again. Additionally, it is really important to detect breaches early in the process to minimize losses. I believe businesses must build a system t…[Read more]